河流表面图像小波阈值去噪方法研究  

Research on wavelet threshold denoising method for river surface image

作　　者：袁志雄 赵东雪 张志刚 唐立军[1] YUAN Zhixiong;ZHAO Dongxue;ZHANG Zhigang;TANG Lijun(School of Physics and Electronic Science,Changsha University of Science and Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学物理与电子科学学院,湖南长沙410114

出　　处：《电子设计工程》2023年第15期182-186,共5页Electronic Design Engineering

基　　金：湖南省水利科技项目(XSKJ2019081-44);柔性电子材料基因工程湖南省重点实验室开放基金(202019);近地空间电磁环境监测与建模湖南省普通高校重点实验室开放基金(N202107);湖南省研究生创新研究项目(CX20200896)。

摘　　要：河流表面图像分析是河流流速监控的一种重要手段,去噪方法是保证河流表面图像质量的关键技术。针对大气风力,太阳紫外线等自然因素影响造成的图像噪声等问题,文中选定了适用于河流表面图像去噪的小波基与小波阈值,提出了一种提升小波阈值去噪效果的函数,提高了河流表面图像数据的质量,为提高非接触式河流流速测量的准确度提供一种有效的方法。该方法应用于某市不同河流的航拍图像分析,结果表明,提出的阈值函数相较于硬阈值函数以及软阈值函数在阈值处保持连续,峰值信噪比均优于传统去噪算法。River surface image analysis is an important method for monitoring river flow velocity,and denoising method is the key technology to ensure the quality of river surface image.Aiming at the problem of image noise caused by natural factors such as atmospheric wind and solar ultraviolet rays,this paper selects the wavelet base and wavelet threshold suitable for denoising of river surface images,and a function to improve the denoising effect of wavelet threshold is proposed.The quality of river surface image data is improved and a method for improving the accuracy of non-contact river velocity measurement effectively is provided.The method is applied to the analysis of aerial images of different rivers in a city.The results show that the threshold function proposed in this paper remains continuous at the threshold compared with the hard threshold function and the soft threshold function,and the peak signal-to-noise ratio is better than the traditional denoising algorithm.

关 键 词：河流表面图像 图像去噪 小波阈值函数 峰值信噪比 

分 类 号：TN911.4[电子电信—通信与信息系统]